{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pylab as pl\n",
    "import os\n",
    "import sys\n",
    "import time\n",
    "import anno_func, json\n",
    "import random\n",
    "import copy\n",
    "from collections import Counter\n",
    "from math import fabs\n",
    "from PIL import Image\n",
    "import pandas as pd\n",
    "from IPython.display import display\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "datadir = \"../data\"\n",
    "\n",
    "filedir = os.path.join(datadir,\"valid_target.json\")\n",
    "TT100K_dir=os.path.join(datadir,\"TT100K_target.json\")\n",
    "oannos=json.loads(open(TT100K_dir).read())\n",
    "annos = json.loads(open(filedir).read())\n",
    "\n",
    "results_annos0=json.loads(open(os.path.join(datadir, \"TT100K_predict.json\")).read())\n",
    "result_anno_file =  os.path.join(datadir, \"resnet50_predict.json\")\n",
    "results_annos1 = json.loads(open(result_anno_file).read())\n",
    "\n",
    "result_anno_file=os.path.join(datadir,\"resnet101_predict.json\")\n",
    "results_annos2=json.loads(open(result_anno_file).read())\n",
    "\n",
    "result_anno_file=os.path.join(datadir,\"resnet152_predict.json\")\n",
    "results_annos3=json.loads(open(result_anno_file).read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7369\n",
      "iou:0.5, size:[96,400), types:none, accuracy:0.924548352816, recall:0.790909090909\n"
     ]
    }
   ],
   "source": [
    "print (len(results_annos1['imgs']))\n",
    "sm = anno_func.eval_annos(annos, results_annos1, iou=0.5,types=anno_func.type42,minscore=50,check_type=False,minboxsize=96, maxboxsize=400)\n",
    "print sm['report']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7369\n",
      "iou:0.5, size:[96,400), types:[pl120, ...total 42...], accuracy:0.904008438819, recall:0.779090909091\n"
     ]
    }
   ],
   "source": [
    "print (len(results_annos2['imgs']))\n",
    "sm = anno_func.eval_annos(annos, results_annos2, iou=0.5,types=anno_func.type42,minscore=50,check_type=True,minboxsize=96, maxboxsize=400)\n",
    "print sm['report']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7369\n",
      "iou:0.5, size:[0,32), types:[pl120, ...total 42...], accuracy:0.868584180511, recall:0.865365612648\n"
     ]
    }
   ],
   "source": [
    "print (len(results_annos3['imgs']))\n",
    "sm = anno_func.eval_annos(annos, results_annos3, iou=0.5,types=anno_func.type42,minscore=50,check_type=True,minboxsize=0,maxboxsize=32)\n",
    "print sm['report']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3071\n",
      "iou:0.5, size:[96,400), types:[pl120, ...total 42...], accuracy:0.921568627451, recall:0.880403458213\n"
     ]
    }
   ],
   "source": [
    "print (len(results_annos0['imgs']))\n",
    "sm = anno_func.eval_annos(oannos, results_annos0, iou=0.5,types=anno_func.type42,minscore=50,check_type=True,minboxsize=96, maxboxsize=400)\n",
    "print sm['report']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAD8CAYAAAB+UHOxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xfbd5198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sizes = [ anno_func.box_long_size(obj['bbox']) for k,img in annos['imgs'].items() for obj in img['objects']]\n",
    "_ = pl.hist(sizes, bins=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "reload(anno_func)\n",
    "df=pd.DataFrame(index=['Precision','Recall'])\n",
    "#test_annos = res_annos2\n",
    "#minscore=0.5\n",
    "test_annos = results_annos2\n",
    "minscore=50\n",
    "\n",
    "sm = anno_func.eval_annos(annos, test_annos, iou=0.5, check_type=True, types=anno_func.type42,\n",
    "                         minboxsize=0,maxboxsize=400,minscore=minscore)\n",
    "print sm['report']\n",
    "sm = anno_func.eval_annos(annos, test_annos, iou=0.5, check_type=True, types=anno_func.type42,\n",
    "                         minboxsize=0,maxboxsize=32,minscore=minscore)\n",
    "print sm['report']\n",
    "sm = anno_func.eval_annos(annos, test_annos, iou=0.5, check_type=True, types=anno_func.type42,\n",
    "                         minboxsize=32,maxboxsize=96,minscore=minscore)\n",
    "print sm['report']\n",
    "sm = anno_func.eval_annos(annos, test_annos, iou=0.5, check_type=True, types=anno_func.type42,\n",
    "                         minboxsize=96,maxboxsize=400,minscore=minscore)\n",
    "print sm['report']\n",
    "\n",
    "for tp in anno_func.type42:\n",
    "    sm = anno_func.eval_annos(annos, test_annos, iou=0.5, check_type=True, types=[tp],minscore=minscore)\n",
    "    print(sm['report'])\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "99 99.9894738197 iou:0.5, size:[0,400), types:[pl120, ...total 42...], accuracy:1.0, recall:5.68117259402e-058777411715                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          \n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfUAAAGBCAYAAAB/+yjGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nwwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x5e94cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfUAAAGBCAYAAAB/+yjGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTyipi4iI+ISSuoiIiE8oqYuIiPjE/wMbNFQ3DfpvOwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x76dfd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfUAAAGBCAYAAAB/+yjGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n+gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x129b3f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfUAAAGBCAYAAAB/+yjGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njY4xMCwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12a8bba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "reload(anno_func)\n",
    "def get_acc_res(results_annos, annos,**argv):\n",
    "    scs = [ obj['score'] for k,img in results_annos['imgs'].items() for obj in img['objects']]\n",
    "    scs = sorted(scs)\n",
    "    accs = [0]\n",
    "    recs = [1]\n",
    "    for i, score in enumerate(np.linspace(0, scs[-1], 100)):\n",
    "        sm = anno_func.eval_annos(annos, results_annos, iou=0.5, check_type=True, types=anno_func.type42, minscore=score, **argv)\n",
    "        print \"\\r%s %s %s\" % (i, score, sm['report']), \n",
    "        sys.stdout.flush()\n",
    "        accs.append(sm['accuracy'])\n",
    "        if len(accs)>=2 and accs[-1]<accs[-2]:\n",
    "            accs[-1] = accs[-2]\n",
    "        recs.append(sm['recall'])\n",
    "    accs.append(1)\n",
    "    recs.append(0)\n",
    "    return accs, recs\n",
    "sizes = [0,32,96,400]\n",
    "ac_rc = []\n",
    "\n",
    "for i in range(4):\n",
    "    if i==3:\n",
    "        l=sizes[0]\n",
    "        r=sizes[-1]\n",
    "    else:\n",
    "        l=sizes[i]\n",
    "        r=sizes[i+1]\n",
    "    acc0, recs0=get_acc_res(results_annos0, oannos, minboxsize=l, maxboxsize=r)\n",
    "    acc1, recs1 = get_acc_res(results_annos1, annos, minboxsize=l, maxboxsize=r)\n",
    "    acc2, recs2 = get_acc_res(results_annos2, annos, minboxsize=l, maxboxsize=r)\n",
    "    acc3, recs3=get_acc_res(results_annos3, annos, minboxsize=l, maxboxsize=r)\n",
    "    ac_rc.append([acc0, recs0, acc1, recs1, acc2, recs2,acc3, recs3])\n",
    "    \n",
    "    pl.figure(figsize=(8,6))\n",
    "    plt.plot(acc0, recs0, label='CVPR2016-TT100K')\n",
    "    pl.plot(acc1, recs1, label='RetinaNet-50')\n",
    "    pl.plot(acc2, recs2, label='RetinaNet-101')\n",
    "    pl.plot(acc3, recs3, label='RetinaNet-152')\n",
    "    pl.xlabel(\"accuracy\")\n",
    "    pl.ylabel(\"recall\")\n",
    "    pl.title(\"size: (%s,%s]\"%(l,r))\n",
    "\n",
    "    pl.legend(bbox_to_anchor=(0, 0), loc=\"lower left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def compute_AP(acc, res):\n",
    "    AP=0\n",
    "    for i in range(1,len(acc)):\n",
    "        AP+=fabs(res[i]-res[i-1])*0.5*(acc[i-1]+acc[i])\n",
    "    return AP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('CVPR2016-TT100K', 'MAP: ', 0.8979612288309989)\n",
      "('RetinaNet-50', 'MAP: ', 0.7939715467764744)\n",
      "('RetinaNet-101', 'MAP: ', 0.9203999564707641)\n",
      "('RetinaNet=152', 'MAP: ', 0.9280140935583158)\n"
     ]
    }
   ],
   "source": [
    "MAP0=compute_AP(acc0, recs0)\n",
    "MAP1=compute_AP(acc1, recs1)\n",
    "MAP2=compute_AP(acc2, recs2)\n",
    "MAP3=compute_AP(acc3, recs3)\n",
    "print('CVPR2016-TT100K','MAP: ',MAP0)\n",
    "print('RetinaNet-50', 'MAP: ',MAP1)\n",
    "print('RetinaNet-101', 'MAP: ',MAP2)\n",
    "print('RetinaNet=152','MAP: ', MAP3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CVPR-2016 TT100K</th>\n",
       "      <th>RetinaNet-50</th>\n",
       "      <th>RetinaNet-101</th>\n",
       "      <th>RetinaNet-152</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MAP</th>\n",
       "      <td>0.8979</td>\n",
       "      <td>0.7939</td>\n",
       "      <td>0.9203</td>\n",
       "      <td>0.928</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     CVPR-2016 TT100K  RetinaNet-50  RetinaNet-101  RetinaNet-152\n",
       "MAP            0.8979        0.7939         0.9203          0.928"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df=pd.read_excel('../data/AP.xlsx')\n",
    "display(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
